iPad Pro 13-inch (M4)
Geekbench AI Score
10072
Single Precision Score
11794
Half Precision Score
11092
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 20 2025 11:11 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4595
854.5 IPS |
|
|
Image Classification (HP)
|
100% |
5004
930.7 IPS |
|
|
Image Classification (Q)
|
96% |
4477
836.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7111
115.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7988
129.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7721
125.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
26962
31.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
30975
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30176
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4608
365.5 IPS |
|
|
Object Detection (HP)
|
100% |
5224
414.4 IPS |
|
|
Object Detection (Q)
|
92% |
4819
384.6 IPS |
|
|
Face Detection (SP)
|
100% |
12692
150.8 IPS |
|
|
Face Detection (HP)
|
100% |
16845
200.2 IPS |
|
|
Face Detection (Q)
|
100% |
13483
160.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20013
154.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22336
172.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
20433
159.6 IPS |
|
|
Style Transfer (SP)
|
100% |
56280
72.3 IPS |
|
|
Style Transfer (HP)
|
100% |
66889
86.0 IPS |
|
|
Style Transfer (Q)
|
96% |
65310
84.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11415
421.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11723
432.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10293
380.1 IPS |
|
|
Text Classification (SP)
|
100% |
3341
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5938
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5814
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4858
83.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4597
79.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5212
90.1 IPS |
